Postdoc AI/ML for Drug Discovery & Biology

Johnson & Johnson Innovative Medicine

Beerse

Sur place

EUR 60 000 - 96 000

Plein temps

Il y a 43 heures
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Avantages offerts par ce poste

Annual bonus
Vacation days
Parental leave

Résumé du poste

Johnson & Johnson Innovative Medicine is hiring a Postdoctoral Scientist – AI/ML to advance AI/ML methods for drug discovery. You will work across foundation models, deep generative models, and representation learning for biological sequences, with lab-in-the-loop workflows and experimental validation.

You will join the DDSAI organization and collaborate with computational biology and experimental teams across Beerse, Spain, Cambridge, and Spring House locations.

Qualifications

  • PhD completed in a quantitative field within the last 3 years or soon.
  • Strong AI/ML expertise with publication record in top AI/ML venues.
  • Proficiency in Python and PyTorch; experience with foundation or generative models is a plus.

Responsabilités

  • Conceive, develop, and validate AI/ML approaches for drug discovery.
  • Design foundation and deep generative models for biological sequences.
  • Establish lab-in-the-loop workflows integrating AI with wet-lab validation.
  • Analyze large biological datasets to generate insights and hypotheses.
  • Collaborate across computational biology, ML, and experimental teams.
  • Communicate results clearly to diverse stakeholders; maintain docs and code.

Connaissances

AI/ML expertise
Sequence modeling
Foundation models
Deep generative models
PyTorch
Python
Communication

Formation

Ph.D. in CS/Statistics/EE/Applied Math

Outils

Python
PyTorch

Description du poste

Johnson & Johnson Innovative Medicine is hiring a Postdoctoral Scientist – AI/ML to advance AI/ML methods for drug discovery. You will work across foundation models, deep generative models, and representation learning for biological sequences, with lab-in-the-loop workflows and experimental validation.

You will join the DDSAI organization and collaborate with computational biology and experimental teams across Beerse, Spain, Cambridge, and Spring House locations.

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